Експериментальне дослідження алгоритмів кластеризації в аналізі медичних даних

Abstract

Clustering algorithms utilized in medical data analysis segment entities or patients based on shared attributes, facilitating the identification of patient subgroups with similar characteristics and the discovery of comparable treatment outcomes. Moreover, cluster analysis enhances understanding of the data's organizational structure, potentially reflecting the inherent organization of particular diseases or risk factors. The utilization of clustering algorithms encourages the exploration of innovative approaches to diagnosis, treatment, and disease management.